Journal•ISSN: 0146-6216
Applied Psychological Measurement
SAGE Publishing
About: Applied Psychological Measurement is an academic journal published by SAGE Publishing. The journal publishes majorly in the area(s): Item response theory & Computerized adaptive testing. It has an ISSN identifier of 0146-6216. Over the lifetime, 1970 publications have been published receiving 127768 citations.
Topics: Item response theory, Computerized adaptive testing, Differential item functioning, Equating, Polytomous Rasch model
Papers published on a yearly basis
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TL;DR: The CES-D scale as discussed by the authors is a short self-report scale designed to measure depressive symptomatology in the general population, which has been used in household interview surveys and in psychiatric settings.
Abstract: The CES-D scale is a short self-report scale designed to measure depressive symptomatology in the general population. The items of the scale are symptoms associated with depression which have been used in previously validated longer scales. The new scale was tested in household interview surveys and in psychiatric settings. It was found to have very high internal consistency and adequate test- retest repeatability. Validity was established by pat terns of correlations with other self-report measures, by correlations with clinical ratings of depression, and by relationships with other variables which support its construct validity. Reliability, validity, and factor structure were similar across a wide variety of demographic characteristics in the general population samples tested. The scale should be a useful tool for epidemiologic studies of de pression.
48,339 citations
TL;DR: In this article, the authors consider the consequences of dichotomization in measurement applications and show that the costs in variance accounted for and in power are even larger than in real data, since methods are available for making use of all the original scaling information.
Abstract: to discarding 38% and 60% of the cases under representative conditions. As dichotomization departs from the mean, the costs in variance accounted for and in power are even larger. Consequences of this practice in measurement applications are considered. These losses may not be quite so large in real data, but since methods are available for making use of all the original scaling information, there is no reason to sustain them.
1,395 citations
TL;DR: In this paper, a structural equation model is described that permits estimation of the reliability index and coefficient of a composite test for congeneric measures, and the method is also helpful in exploring the fa...
Abstract: A structural equation model is described that permits estimation of the reliability index and coefficient of a composite test for congeneric measures. The method is also helpful in exploring the fa...
1,240 citations
TL;DR: The generalized partial credit model (GPCM) as discussed by the authors is a generalized PCM with a varying slope parameter, which is based on Andrich's (1978) rating scale formulation.
Abstract: The partial credit model (PCM) with a varying slope parameter is developed and called the generalized partial credit model (GPCM). The item step parameter of this model is decomposed to a location and a threshold parameter, following Andrich's (1978) rating scale formulation. The EM algorithm for estimating the model parameters is derived. The performance of this generalized model is compared on both simulated and real data to a Rasch family of polytomous item response models. Simulated data were generated and then analyzed by the various polytomous item response models. The results demonstrate that the rating formulation of the GPCM is quite adaptable to the analysis of polytomous item responses. The real data used in this study consisted of the National Assessment of Educational Progress (Johnson & Allen, 1992) mathematics data that used both dichotomous and polytomous items. The PCM was applied to these data using both constant and varying slope parameters. The GPCM, which provides for varying slope pa...
1,219 citations
TL;DR: In this paper, various methods for determining unidimensionality are reviewed and the rationale of these methods is as sessed, and it is suggested that those based on the size of residuals after fitting a two- or three-parameter latent trait model may be the most useful to detect unidimensionalality.
Abstract: Various methods for determining unidimensionality are reviewed and the rationale of these methods is as sessed. Indices based on answer patterns, reliability, components and factor analysis, and latent traits are reviewed. It is shown that many of the indices lack a rationale, and that many are adjustments of a previous index to take into account some criticisms of it. After reviewing many indices, it is suggested that those based on the size of residuals after fitting a two- or three-parameter latent trait model may be the most useful to detect unidimensionality. An attempt is made to clarify the term unidimensional, and it is shown how it differs from other terms often used inter changeably such as reliability, internal consistency, and homogeneity. Reliability is defined as the ratio of true score variance to observed score variance. Inter nal consistency denotes a group of methods that are intended to estimate reliability, are based on the vari ances and the covariances of test items, and depend on on...
1,052 citations